\documentclass[10pt,oneside]{book}

\input{macros}

\title{Lecture Notes -- MIT 6.390 Fall 2024}
\date{\copyright\ 2024 MIT. All Rights Reserved}


\begin{document}
\maketitle
\tableofcontents

\clearpage

\include{intro}
\include{regression}
\include{gradient_descent}
\include{classification}
\include{feature_representation}
\include{neural_networks}
\include{clustering}
\include{convolutional_neural_networks}
\include{transformers}
\include{autoencoders}
\include{mdp}
\include{reinforcement_learning}
\include{non_parametric}



\begin{appendices}
    \include{matrix_derivative}
    \include{neural_network_appendix}
    %\include{einstein}
    \include{rnn}
    \include{nutshell}

    \printindex
    \clearpage
    \glsaddall
    \printglossaries
    \clearpage
\end{appendices}

%\include{perceptron}
%\include{margin_maximization}
%\include{linear_classifiers}
%\include{logistic_regression} old version
%\include{recommender_systems}
%\include{collaborative_filtering}



\end{document}
